Time series based air pollution forecasting using SARIMA and prophet model
Air pollution severely affects many countries around the world causing serious health effects
or death. Increasing dependency on fossil fuels through the last century has been …
or death. Increasing dependency on fossil fuels through the last century has been …
Spatiotemporal prediction of PM2. 5 concentrations at different time granularities using IDW-BLSTM
As air pollution becomes an increasing concern globally, governments, and research
institutions have attached great importance to air quality prediction to help give early …
institutions have attached great importance to air quality prediction to help give early …
Bayesian proxy modelling for estimating black carbon concentrations using white-box and black-box models
Black carbon (BC) is an important component of particulate matter (PM) in urban
environments. BC is typically emitted from gas and diesel engines, coal-fired power plants …
environments. BC is typically emitted from gas and diesel engines, coal-fired power plants …
Data analysis on outdoor–indoor air quality variation: buildings' producing dynamic filter effects
Recently, air quality issues have attracted much more attention. This paper aims to find an
effective way to analyse the buildings' effects on the air quality variation between indoor and …
effective way to analyse the buildings' effects on the air quality variation between indoor and …